Type of Study
The proposed experimental research is a study that explores between-subject effects. This is because the participants of this study will be assigned to two groups – experimental (exercise) and control (no exercise), and the two groups will have to be compared in order to determine the impact of the exercise (Warner, 2013).
Independent Variable
The independent variable for the current study will be Exercise; it will have two values: exercise and no exercise.
Dependent Variable
The dependent variable for this research will be Arousal; an appropriate instrument will need to be selected in order to measure the levels of arousal in the participants of the study.
Control Group
The control group will be that to which no treatment will be provided, that is, the group that will not do the exercise.
Experimental Group
The experimental group will be the group the participants of which will do the exercise.
The Null and Alternative Hypotheses
The exact wording of the null and alternative hypotheses will depend on whether or not the levels of arousal are measured at the baseline (Field, 2013). If it is measured at the baseline, the null hypothesis will be as follows: “There is no significant difference in the levels of arousal between the exercise and no-exercise groups, while statistically controlling for the pre-exercise levels of arousal”; and the alternative hypothesis will be as follows: “There is a significant difference in the levels of arousal between the exercise and no-exercise groups, while statistically controlling for the pre-exercise levels of arousal.”
On the other hand, if the levels of arousal are not measured prior to the intervention, the null hypothesis will be as follows: “There is no significant difference in the levels of arousal between the exercise and no-exercise groups”; and the alternative hypothesis will be as follows: “There is a significant difference in the levels of arousal between the exercise and no-exercise groups.”
References
Field, A. (2013). Discovering statistics using IBM SPSS Statistics (4th ed.). Thousand Oaks, CA: SAGE Publications.
Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications.